Leonardo Rocha

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 89

Top Venues

Publications

Celso França, Rennan C. Lima, Cláudio M. V. de Andrade, Washington Cunha, Pedro O. S. Vaz de Melo, Berthier A. Ribeiro-Neto, Leonardo Rocha, Rodrygo L. T. Santos, Adriana S. Pagano, Marcos André Gonçalves
On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval. Neurocomputing 600 (2024)
Guilherme Andrade, Willian Barreiros, Leonardo Rocha, Renato Ferreira, George Teodoro
Large-scale response-aware online ANN search in dynamic datasets. Clust. Comput. 27 (3) (2024)
Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Guilherme Fonseca, Ana Machado, Leonardo Rocha, Marcos André Gonçalves
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method. J. Interact. Syst. 15 (1) (2024)
Fabiano Belém, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Leonardo Rocha, Marcos André Gonçalves
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks. CoRR (2024)
Yan Andrade, Matheus Pimenta, Gabriel Amarante, Antônio Hot Faria, Marcelo Vilas-Boas, João Paulo da Silva, Felipe Rocha, Jamicel da Silva, Wagner Meira Jr., George Teodoro, Leonardo Rocha, Renato Ferreira
A Descriptive and Predictive Analysis Tool for Criminal Data: A Case Study from Brazil. ICCSA (2) (2024)
Julio Rodrigues, Charles de Barros, Diego R. C. Dias, Marcelo de Paiva Guimarães, Elisa Tuler, Leonardo Rocha
Identification of Malicious URLs: A Purely Lexical Approach. ICCSA (2) (2024)
Welton Santos, Washington Cunha, Celso França, Guilherme Fonseca, Sérgio D. Canuto, Leonardo Rocha, Marcos André Gonçalves
Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis. SBBD (2023)
Washington Cunha, Celso França, Guilherme Fonseca, Leonardo Rocha, Marcos André Gonçalves
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. SIGIR (2023)
Yan Andrade, Nícollas Silva, Thiago Silva, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Elisa Tuler de Albergaria, Leonardo Rocha
A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems. WebMedia (2023)
Guilherme Bittencourt, Guilherme Fonseca, Yan Andrade, Nícollas Silva, Leonardo Rocha
A Survey on Review - Aware Recommendation Systems. WebMedia (2023)
André Levi Zanon, Marcelo Garcia Manzato, Leonardo Rocha
Offline Metrics for Evaluating Explanation Goals in Recommender Systems. CoRR (2023)
Washington Cunha, Felipe Viegas, Celso França, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification. ACM Comput. Surv. 55 (13s) (2023)
Marcus Oliveira, Cleverson Vieira, Ana Paula De Filippo, Michel Carlo Rodrigues Leles, Diego Roberto Colombo Dias, Marcelo de Paiva Guimarães, Elisa Tuler, Leonardo Rocha
Automatic Features Extraction from the Optic Cup and Disc Segmentation for Glaucoma Classification. ICCSA (1) (2023)
Washington Cunha, Celso França, Leonardo Rocha, Marcos André Gonçalves
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method. CoRR (2023)
Yan Andrade, Nícollas Campos Silva, Adriano C. M. Pereira, Elisa Tuler, Cleverson Vieira, Marcelo de Paiva Guimarães, Diego Dias, Leonardo Rocha
Integrating Counterfactual Evaluations into Traditional Interactive Recommendation Frameworks. ICCSA (1) (2023)
Nícollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha
Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. SIGIR (2023)
Nícollas Silva, Thiago Silva, Heitor Werneck, Leonardo Rocha, Adriano C. M. Pereira
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience. Trans. Recomm. Syst. 1 (1) (2023)
Antônio Pereira De Souza Júnior, Felipe Viegas, Marcos André Gonçalves, Leonardo Rocha
Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling. WebMedia (2023)
Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio Moisés Valiense de Andrade, Leonardo Rocha, Marcos André Gonçalves
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts. WebMedia (2023)
Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha, Celso França, Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!". Inf. Process. Manag. 60 (4) (2023)
Cleverson Marques Vieira, Marcus Vinícius De Castro Oliveira, Marcelo de Paiva Guimarães, Leonardo Rocha, Diego Roberto Colombo Dias
Applied Explainable Artificial Intelligence (XAI) in the classification of retinal images for support in the diagnosis of Glaucoma. WebMedia (2023)
Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha
iRec: An Interactive Recommendation Framework. SIGIR (2022)
Thiago Silva, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha
Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario. WebMedia (2022)
Felipe Viegas, Antônio Pereira De Souza Júnior, Pablo Cecilio, Elisa Tuler, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha
Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling. Scientometrics 127 (8) (2022)
Heitor Werneck, Nícollas Silva, Adriano C. M. Pereira, Matheus Carvalho Viana, Alejandro Bellogín, Jorge Martínez Gil, Fernando Mourão, Leonardo Rocha
A reproducible POI recommendation framework: Works mapping and benchmark evaluation. Inf. Syst. 108 (2022)
Tiago Trotta, Leonardo Rocha, Telma Rosa de Andrade, Marcelo de Paiva Guimarães, Diego Roberto Colombo Dias
C-Libras: A Gesture Recognition App for the Brazilian Sign Language. ICCSA (1) (2022)
Heitor Werneck, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Elisa Tuler, Diego Dias, Leonardo Rocha
A Stacking Recommender System Based on Contextual Information for Fashion Retails. ICCSA (1) (2022)
Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha
Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions. Expert Syst. Appl. 197 (2022)
Luis Guilherme Silva Rodrigues, Diego Roberto Colombo Dias, Marcelo de Paiva Guimarães, Alexandre Fonseca Brandao, Leonardo Rocha, Rogério Luiz Iope, José Remo Ferreira Brega
Classification of Human Movements with Motion Capture Data in a Motor Rehabilitation Context. SVR (2021)
Christian Gomes, Marcos André Gonçalves, Leonardo Rocha, Sérgio D. Canuto
On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. ACL/IJCNLP (Findings) (2021)
Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha
A contextual approach to improve the user's experience in interactive recommendation systems. WebMedia (2021)
Alan Cardoso, Fernando Mourão, Leonardo Rocha
The matching scarcity problem: When recommenders do not connect the edges in recruitment services. Expert Syst. Appl. 175 (2021)
Thiago Salles, Leonardo Rocha, Marcos André Gonçalves
A bias-variance analysis of state-of-the-art random forest text classifiers. Adv. Data Anal. Classif. 15 (2) (2021)
Heitor Werneck, Rodrigo Santos, Nícollas Silva, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
Effective and diverse POI recommendations through complementary diversification models. Expert Syst. Appl. 175 (2021)
Welton Santos, Elverton Carvalho Fazzion, Elisa Tuler, Diego Dias, Marcelo de Paiva Guimarães, Leonardo Rocha
StoryTracker: A Semantic-Oriented Tool for Automatic Tracking Events by Web Documents. ICCSA (3) (2021)
Antonio Pedro, Antônio Pereira, Pablo Cecilio, Nayara Pena, Felipe Viegas, Elisa Tuler, Diego Dias, Leonardo Rocha
An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches. ICCSA (3) (2021)
Welton Santos, Elverton C. Fazzion, Diego Dias, Marcelo Guimarães, Elisa Tuler, Leonardo Rocha
Semantically Time Tracking of Events from Web Documents. WebMedia (2021)
Washington Cunha, Vítor Mangaravite, Christian Gomes, Sérgio D. Canuto, Elaine Resende, Cecilia Nascimento, Felipe Viegas, Celso França, Wellington Santos Martins, Jussara M. Almeida, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. Inf. Process. Manag. 58 (3) (2021)
Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
Points of Interest recommendations: Methods, evaluation, and future directions. Inf. Syst. 101 (2021)
Luiz Chaves, Nícollas Silva, Rodrigo Carvalho, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Leonardo Rocha
How to Improve the Recommendation's Accuracy in POI Domains? ICCSA (1) (2020)
Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira, Leonardo Rocha, Marcos André Gonçalves
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords. ACL (2020)
Thiago Silva, Nícollas Silva, Heitor Werneck, Adriano C. M. Pereira, Leonardo Rocha
The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning. WebMedia (2020)
Heitor Werneck, Nícollas Silva, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha
Combining complementary diversification models for personalized POI recommendations. WebMedia (2020)
Alan Cardoso, Fernando Mourão, Leonardo Rocha
Mitigating Matching Scarcity in Recruitment Recommendation Domains. WebMedia (2020)
Júlio Resende, Vinicius H. S. Durelli, Igor Campos Moraes, Nícollas Silva, Diego Roberto Colombo Dias, Leonardo Rocha
An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not? ICCSA (1) (2020)
Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha
A Survey on Point-of-Interest Recommendation in Location-based Social Networks. WebMedia (2020)
João Augusto da Cruz, Millas Nasser, Elisa Tuler, Dárlinton B. F. Carvalho, Leonardo Rocha, Matheus Carvalho Viana
Creating an Academic Conversational Agent for Dynamic Information Retrieval. SBSI (2020)
Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. Inf. Syst. 94 (2020)
Luiz Felipe Mendes, Marcos André Gonçalves, Washington Cunha, Leonardo Rocha, Thierson Couto Rosa, Wellington Martins
"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification. CIKM (2020)
Washington Cunha, Sérgio D. Canuto, Felipe Viegas, Thiago Salles, Christian Gomes, Vítor Mangaravite, Elaine Resende, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. Inf. Process. Manag. 57 (4) (2020)
Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. WSDM (2019)
Diego Carvalho, Nícollas Silva, Tiago Trotta, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. CEC (2019)
Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog? ICCS (1) (2019)
Alan Cardoso, Fernando Mourão, Leonardo Rocha
A characterization methodology for candidates and recruiters interaction in online recruitment services. WebMedia (2019)
Michel Pires, Nícollas Silva, Leonardo Rocha, Wagner Meira Jr., Renato Ferreira
Efficient Parallel Associative Classification Based on Rules Memoization. ICCS (4) (2019)
Rodrigo Carvalho, Nícollas Silva, Luiz Chaves, Adriano C. M. Pereira, Leonardo Rocha
Geographic-categorical diversification in POI recommendations. WebMedia (2019)
Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains. Inf. Syst. 80 (2019)
Diego Carvalho, Nícollas Silva, Alan Cardoso, Elverton C. Fazzion, Adriano C. M. Pereira, Leonardo Rocha
A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services. WebMedia (2019)
Luiz Chaves, Nícollas Silva, Rodrigo Carvalho, Adriano C. M. Pereira, Leonardo Rocha
Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems. WebMedia (2019)
Felipe Viegas, Leonardo Rocha, Elaine Resende, Thiago Salles, Wellington Martins, Mateus Ferreira e Freitas, Marcos André Gonçalves
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification. Neurocomputing 307 (2018)
Diego Carvalho, Nícollas Silva, Alan Cardoso, Elverton C. Fazzion, Adriano C. M. Pereira, Leonardo Rocha
Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services. WebMedia (2018)
Christian Gomes, Alan Cardoso, Thiago Silveira, Diego Dias, Elisa Tuler, Renato Ferreira, Leonardo Rocha
Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection. ICCS (2) (2018)
Diego Carvalho, Nícollas Silva, Thiago Silveira, Fernando Mourão, Adriano C. M. Pereira, Diego Dias, Leonardo Rocha
FAiR: A Framework for Analyses and Evaluations on Recommender Systems. ICCSA (3) (2018)
Thiago Salles, Marcos André Gonçalves, Victor Rodrigues, Leonardo Rocha
Improving random forests by neighborhood projection for effective text classification. Inf. Syst. 77 (2018)
Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves
Semantically-Enhanced Topic Modeling. CIKM (2018)
Vinicius H. S. Durelli, Rafael Serapilha Durelli, André Takeshi Endo, Elder Cirilo, Washington Luiz, Leonardo Rocha
Please please me: does the presence of test cases influence mobile app users' satisfaction? SBES (2018)
Rodrigo Carvalho, Guilherme Andrade, Diogo Santana, Thiago Silveira, Daniel Madeira, Rafael Sachetto Oliveira, Renato Ferreira, Leonardo Rocha
Evaluating Dynamic Scheduling of Tasks in Mobile Architectures Using ParallelME Framework. ICCS (3) (2018)
Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves, Fernando Mourão, Giovanni Sá, Thiago Salles, Guilherme Andrade, Isac Sandin
A Genetic Programming approach for feature selection in highly dimensional skewed data. Neurocomputing 273 (2018)
Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.
NetClass: A network-based relational model for document classification. Inf. Sci. 469 (2018)
Washington Luiz, Felipe Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton B. F. Carvalho, Marcos André Gonçalves, Leonardo Rocha
A Feature-Oriented Sentiment Rating for Mobile App Reviews. WWW (2018)
Thiago Silveira, Leonardo Rocha, Fernando Mourão, Marcos André Gonçalves
A framework for unexpectedness evaluation in recommendation. SAC (2017)
Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains. WebMedia (2017)
Diego Carvalho, Nícollas Silva, Adriano C. M. Pereira, Leonardo Rocha
Characterizing User Behavior and Items in Multimedia Streaming Services. WebMedia (2017)
Fernando Mourão, Leonardo Rocha, Camila Souza Araujo, Wagner Meira Jr., Joseph A. Konstan
What surprises does your past have for you? Inf. Syst. 71 (2017)
Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
Non-personalized Movie Recommendation by Maximum k-Coverage. J. Inf. Data Manag. 8 (2) (2017)
Gabriel Spada Ramos, Guilherme Andrade, Rafael Sachetto Oliveira, Daniel Madeira, Renan Carvalho, Renato Ferreira, Fernando Mourão, Leonardo Rocha
A Framework for Direct and Transparent Data Exchange of Filter-stream Applications in Multi-GPUs Architectures. ICCS (2017)
Daniel Alencar, Dárlinton B. F. Carvalho, Eduardus Koenders, Fernando Mourão, Leonardo Rocha
Devising a computational model based on data mining techniques to predict concrete compressive strength. ICCS (2017)
Thiago Salles, Leonardo Rocha, Fernando Mourão, Marcos André Gonçalves, Felipe Viegas, Wagner Meira Jr.
A Two-Stage Machine learning approach for temporally-robust text classification. Inf. Syst. 69 (2017)
Thiago Salles, Leonardo Rocha, Marcos André Gonçalves, Jussara M. Almeida, Fernando Mourão, Wagner Meira Jr., Felipe Viegas
A quantitative analysis of the temporal effects on automatic text classification. J. Assoc. Inf. Sci. Technol. 67 (7) (2016)
Leonardo Rocha, Fernando Mourão, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Danilo Melo, Sávyo Toledo, Aniket Chakrabarti
D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures. ICCS (2016)
Danilo Melo, Sávyo Toledo, Fernando Mourão, Rafael Sachetto Oliveira, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Leonardo Rocha
Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy. ICCS (2016)
Guilherme Andrade, Wilson de Carvalho, Renato Utsch, Pedro Caldeira, Alberto Albuquerque, Fabricio Ferracioli, Leonardo Rocha, Michael Frank, Dorgival O. Guedes, Renato Ferreira
ParallelME: A Parallel Mobile Engine to Explore Heterogeneity in Mobile Computing Architectures. Euro-Par (2016)
Leonardo Rocha, Fernando Mourão, Ramon Vieira, Alan Neves, Dárlinton B. F. Carvalho, Bortik Bandyopadhyay, Srinivasan Parthasarathy, Renato Ferreira
Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. DSAA (2016)
Leonardo Rocha, Fernando Mourão, Thiago Silveira, Rodrigo Chaves, Giovanni Sá, Felipe Teixeira, Ramon Vieira, Renato Ferreira
SACI: Sentiment analysis by collective inspection on social media content. J. Web Semant. 34 (2015)
Leonardo Rocha, Gabriel Spada Ramos, Rodrigo Chaves, Rafael Sachetto Oliveira, Daniel Madeira, Felipe Viegas, Guilherme Andrade, Sérgio Daniel, Marcos André Gonçalves, Renato Ferreira
G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN. SAC (2015)
Alan Neves, Ramon Vieira, Fernando Mourão, Leonardo Rocha
. ICCS (2015)
Thiago Salles, Marcos André Gonçalves, Victor Rodrigues, Leonardo Rocha
BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification. SIGIR (2015)
Leonardo Rocha, Fernando Vale, Elder Cirilo, Dárlinton Barbosa, Fernando Mourão
. ICCS (2015)
Felipe Viegas, Marcos André Gonçalves, Wellington Martins, Leonardo Rocha
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification. CIKM (2015)
Guilherme Andrade, Renato Ferreira, George Teodoro, Leonardo Rocha, Joel H. Saltz, Tahsin M. Kurç
Efficient Execution of Microscopy Image Analysis on CPU, GPU, and MIC Equipped Cluster Systems. SBAC-PAD (2014)
Daniel Madeira, José Ricardo da S. Junior, Diego H. Stalder, Leonardo Rocha, Reinaldo R. Rosa, Otton T. Silveira Filho, Esteban Clua
A Strategy to Workload Division for Massively Particle-Particle N-body Simulations on GPUs. ICCSA (6) (2014)
Guilherme Andrade, Gabriel Spada Ramos, Daniel Madeira, Rafael Sachetto Oliveira, Esteban Clua, Renato Ferreira, Leonardo Rocha
Efficient dynamic scheduling of heterogeneous applications in hybrid architectures. SAC (2014)
Sérgio D. Canuto, Thiago Salles, Marcos André Gonçalves, Leonardo Rocha, Gabriel Spada Ramos, Luiz Gonçalves, Thierson Couto Rosa, Wellington Santos Martins
On Efficient Meta-Level Features for Effective Text Classification. CIKM (2014)
Giovanni Sá, Thiago Silveira, Rodrigo Chaves, Felipe Teixeira, Fernando Mourão, Leonardo Rocha
LEGi: context-aware lexicon consolidation by graph inspection. SAC (2014)
Leonardo Rocha, Fernando Mourão, Hilton de Oliveira Mota, Thiago Salles, Marcos André Gonçalves, Wagner Meira Jr.
Temporal contexts: Effective text classification in evolving document collections. Inf. Syst. 38 (3) (2013)
Fernando Mourão, Leonardo Rocha, Joseph A. Konstan, Wagner Meira Jr.
Exploiting non-content preference attributes through hybrid recommendation method. RecSys (2013)
Guilherme Andrade, Gabriel Spada Ramos, Daniel Madeira, Rafael Sachetto Oliveira, Renato Ferreira, Leonardo Rocha
G-DBSCAN: A GPU Accelerated Algorithm for Density-based Clustering. ICCS (2013)
Isac Sandin, Guilherme Andrade, Felipe Viegas, Daniel Madeira, Leonardo Rocha, Thiago Salles, Marcos André Gonçalves
Aggressive and effective feature selection using genetic programming. IEEE Congress on Evolutionary Computation (2012)
Guilherme Andrade, Felipe Teixeira, Carolina Ribeiro Xavier, Rafael Sachetto Oliveira, Leonardo Rocha, Alexandre G. Evsukoff
HASCH: High Performance Automatic Spell Checker for Portuguese Texts from the Web. ICCS (2012)
Alan Cardoso, Daniel Rocha, Rafael Sachetto Oliveira, Leonardo Rocha, Fernando Mourão, Wagner Meira Jr.
A Characterization Methodology of Evolutionary Behavior in Recommender Systems. WEBIST (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Leonardo Rocha